Pith. sign in

Paper Citation Record · LEDGER

Point Cloud Understanding via Attention-Driven Contrastive Learning

As of 15 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2411.14744.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.14744 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:02:29.580306Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

68 of 68 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baea57f2-e29f-4aac-b4e6-3b9285664b01 · outbound

This paper cites Maskclr: Attention-guided contrastive learning for robust action representation learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Maskclr: Attention-guided contrastive learning for robust action representation learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.485337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.284362Z digest=sha256:49bd0b11aaf9367c1a781b931a636cc3aa19b82d82e71ac8b1faae668e3a361f

Observation 93738aad-904d-4f6e-be0e-0f648a6930e0 · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Learning representations and generative models for 3d point clouds

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.469942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.289581Z digest=sha256:2353064ec88cd0f26be889f3f8e9a1544febfeaf7d16146215b5e7d3086d2b60

Observation 552df88a-6957-485f-8354-9aaa8c3b12de · outbound

This paper cites An overview of augmented reality.

Point Cloud Understanding via Attention-Driven Contrastive Learning An overview of augmented reality

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.294612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.294612Z digest=sha256:6113efd48f157223476f608afd9bce04656459b5d74d19f16b1be44e2dc473c0

Observation 1bca8966-b585-4f3b-92f0-c31166da9713 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Point Cloud Understanding via Attention-Driven Contrastive Learning BEiT: BERT Pre-Training of Image Transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.299448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.299448Z digest=sha256:d6c0cc489368b2d506cb5091e74f923557291d300824409fc960c29067d882b3

Observation 271b9934-8e53-453f-bda2-1809859d7b11 · outbound

This paper cites Pointgpt: Auto-regressively generative pre- training from point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointgpt: Auto-regressively generative pre- training from point clouds

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.444379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.304496Z digest=sha256:a50cf90cdfdaf4c0268cf7b1986b67f069d597d7e05047778710e83d46ca5425

Observation ad33447d-4677-4c73-82c0-376cfbc734b9 · outbound

This paper cites 3d point cloud processing and learning for autonomous driving: Impacting map cre- ation, localization, and perception.

Point Cloud Understanding via Attention-Driven Contrastive Learning 3d point cloud processing and learning for autonomous driving: Impacting map cre- ation, localization, and perception

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.309384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.309384Z digest=sha256:e3a3e9eba69ec351880a3d44095b1c3ae1ad1f27150a2e95f5745ca9720d05ea

Observation 79ad3b31-c76d-40b7-9b0f-585da9480d27 · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

Point Cloud Understanding via Attention-Driven Contrastive Learning Multi-view 3d object detection network for autonomous driving

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.419535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.314049Z digest=sha256:159c7abf2a3aa81e1373bb8df141e681318bb85dff9baf044cde4e3b64de299f

Observation 07db0219-6b67-403b-af58-9ba59cb9a43f · outbound

This paper cites Pra-net: Point relation-aware network for 3d point cloud analysis.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pra-net: Point relation-aware network for 3d point cloud analysis

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.405225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.318409Z digest=sha256:89e8231838ab6de95a80bd26a4885f7e1f142232bb6ad6bd940b4fc25496a395

Observation 2ff5ff91-4bb5-4ff1-bb2f-1da9636da940 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Point Cloud Understanding via Attention-Driven Contrastive Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.322706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.322706Z digest=sha256:5d534989e3ab5faaf84d23cf2d13d3cf3b7d0e08891ded2865037361dc2028ba

Observation a5ce1970-c754-45e2-82b0-9f3b6d8701f0 · outbound

This paper cites Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?.

Point Cloud Understanding via Attention-Driven Contrastive Learning Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.327151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.327151Z digest=sha256:2c8b51b06b12a7eb20ad0f07ebd4edddcd05cd71ff2c56630c86fd9f4d82168d

Observation 407ab37b-efcc-4850-bb23-f48aa469b912 · outbound

This paper cites Why does unsupervised pre-training help deep learning? In Proceedings of the thirteenth international con- ference on artificial intelligence and statistics , pages 201–.

Point Cloud Understanding via Attention-Driven Contrastive Learning Why does unsupervised pre-training help deep learning? In Proceedings of the thirteenth international con- ference on artificial intelligence and statistics , pages 201–

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.331813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.331813Z digest=sha256:1cbd2f5b1c5888281b0b5b7688f1060b27bb22cd95d38f166f52ecb423b04a82

Observation be9fb503-9fad-4c05-bdf8-0f6184bd744e · outbound

This paper cites Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data.

Point Cloud Understanding via Attention-Driven Contrastive Learning Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.340300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.340300Z digest=sha256:5b0ab7fd3fad03a33d0e8db8b0f216dd91967652c8db43f8d9fa35a0b3c80a9e

Observation 4d672c25-1a7c-486e-afdd-7fa45cdee83b · outbound

This paper cites Point cloud interaction and ma- nipulation in virtual reality.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point cloud interaction and ma- nipulation in virtual reality

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.366668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.344885Z digest=sha256:1798a21418712248dcb9f814b9a05ed912055bacb3fcc8237cb061f57e924b11

Observation ed330813-9031-4514-a097-ea5b435e7456 · outbound

This paper cites Generative adversarial networks.

Point Cloud Understanding via Attention-Driven Contrastive Learning Generative adversarial networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.349108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.349108Z digest=sha256:c497ca2d1b9065dcc8bb4901fb110a2220a4a73fcc12705e548d20c7778d5a53

Observation d14cfb5c-4947-4347-863a-4e09a934de8c · outbound

This paper cites Mvtn: Multi-view transformation network for 3d shape recognition.

Point Cloud Understanding via Attention-Driven Contrastive Learning Mvtn: Multi-view transformation network for 3d shape recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.342519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.353223Z digest=sha256:c681e699536d7d3c264fe0f758e7f4baab410f4238cefda11da577230bcb0811

Observation 3b3998e8-d8b4-42c8-a0ed-2a2b280c95ca · outbound

This paper cites Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model.

Point Cloud Understanding via Attention-Driven Contrastive Learning Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.357637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.357637Z digest=sha256:2dca4f9c7937b2bfac4e7dcc814e07105d4dc97e4112751ddd81f62497b028e9

Observation c7ed3567-2dd1-4428-a8aa-0b399279857b · outbound

This paper cites Masked autoencoders are scalable vision learners.

Point Cloud Understanding via Attention-Driven Contrastive Learning Masked autoencoders are scalable vision learners

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.362404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.362404Z digest=sha256:4836e2c33a3ec7bd24791a6e6401b8df52da9c774b31a7b11d3de3fd1986cd57

Observation 409ed794-3888-4d72-9094-b41ad1c0a56a · outbound

This paper cites Atten- tion discriminant sampling for point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Atten- tion discriminant sampling for point clouds

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.319266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.367020Z digest=sha256:629069f2baa826f42730f409fc94c675f42deff0bc73393e82329e30b1d5be4e

Observation 52fed73b-6848-4b25-92c8-7d521c8ccee3 · outbound

This paper cites Clip2point: Transfer clip to point cloud classifica- tion with image-depth pre-training.

Point Cloud Understanding via Attention-Driven Contrastive Learning Clip2point: Transfer clip to point cloud classifica- tion with image-depth pre-training

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.371229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.371229Z digest=sha256:66d1f5552c58cf6bd3f0225c5cfccf69c5d61ac9117b51aa74a322d6c9c9942f

Observation 891c9b6c-7704-4d13-9a83-70f91c754705 · outbound

This paper cites Self-supervised Modal and View Invariant Feature Learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised Modal and View Invariant Feature Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.375364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.375364Z digest=sha256:a312988625f7893685d3aa90064008c7dcb0491e5f8f4c201162b1bad3595aa2

Observation 4e497889-cf0e-45b5-a7d3-eb91c5a07d8c · outbound

This paper cites So-net: Self- organizing network for point cloud analysis.

Point Cloud Understanding via Attention-Driven Contrastive Learning So-net: Self- organizing network for point cloud analysis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.295308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.379942Z digest=sha256:74e7e3061487bca0e6855e41ad80a98bd45f54870b46cb063408cbd8a240a24a

Observation 8995eed4-fc78-4f2e-a036-3db849fa5060 · outbound

This paper cites Pointcnn: Convolution on x-transformed points.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointcnn: Convolution on x-transformed points

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.279108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.383887Z digest=sha256:9f74604bf9f4e58bf90183ea6697dae317d657e39435227e3c9c83abb20f51c2

Observation 4cf7ce91-4992-4b21-b1f0-f49c3cdf5cec · outbound

This paper cites General point model pretrain- ing with autoencoding and autoregressive.

Point Cloud Understanding via Attention-Driven Contrastive Learning General point model pretrain- ing with autoencoding and autoregressive

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.264839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.388323Z digest=sha256:cdb989a42df6247221e2d27edf23a447cbafed9eb3a277193409a0b7849b0f0f

Observation 2c10a092-53d5-423a-8b04-1cd07a0c6541 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointmamba: A simple state space model for point cloud analysis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.249740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.392568Z digest=sha256:29f709da3beedde4b2455c7601dfb07d056693157c138cd5419010b68129209f

Observation 724bfbbc-df71-4009-a169-73059417a34c · outbound

This paper cites Masked dis- crimination for self-supervised learning on point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Masked dis- crimination for self-supervised learning on point clouds

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.235575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.396740Z digest=sha256:dcbddffeb5d00e2c52fd6141dc99ce2bf4a89472fb17877ba50946004f607092

Observation 7e157fe1-aed5-44c4-8750-d2e87c4fb250 · outbound

This paper cites Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.401232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.401232Z digest=sha256:7f2c83c242ce067796f98239788f2c3c3f16832d6ff3321b96e2302956d343c7

Observation bd8bbbb6-7c46-432e-8697-0e52742f2bba · outbound

This paper cites Deep image translation with an affinity-based change prior for un- supervised multimodal change detection.

Point Cloud Understanding via Attention-Driven Contrastive Learning Deep image translation with an affinity-based change prior for un- supervised multimodal change detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.220665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.405766Z digest=sha256:f92cbf6e377f2a5872b0ea0f28fae8d79baaf5d001b9420bf315fbd633cb5cf4

Observation 4a1836a8-9e89-47a7-8090-23b3fe5ba22f · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Point Cloud Understanding via Attention-Driven Contrastive Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.409969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.409969Z digest=sha256:d43cb841c2ac9e13ea0befede220995c9928150db6fffbcfb265bdc55c2303f6

Observation 763ddcc8-90f7-434c-8329-72c51434dae1 · outbound

This paper cites Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders.

Point Cloud Understanding via Attention-Driven Contrastive Learning Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.414364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.414364Z digest=sha256:02df941752931965e511ae0fe5f41965ec72d4396bb4edd4725931965213b74c

Observation 3b7e714c-4da6-49af-9a7d-dc0e128b9988 · outbound

This paper cites Self-supervised learning of pretext-invariant representations.

Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised learning of pretext-invariant representations

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.418827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.418827Z digest=sha256:cb8aac4e11f2c45315b65d6a78317ec2ff7c450f0fc9cdabd2c8b197777a3324

Observation cd8a7d5d-3144-4e22-8658-40d13b843386 · outbound

This paper cites From image collections to point clouds with self-supervised shape and pose networks.

Point Cloud Understanding via Attention-Driven Contrastive Learning From image collections to point clouds with self-supervised shape and pose networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.195628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.422926Z digest=sha256:71979dad4d171420222596a55aa5009c663cbe33d773346a82b5e4faf45682a6

Observation 3b5c2cde-b822-47b0-b29e-6facd05f3efb · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Masked autoencoders for point cloud self-supervised learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.181581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.427294Z digest=sha256:9f9caa6e544617cd69ce62b5fb764be78d68239926a7c8722e16a01eb8222ddf

Observation 54a3fb0a-c889-4ced-9def-cc64ad5bfebe · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.431440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.431440Z digest=sha256:2d85c1e7ac6f3310f2e7a57168d3d24ec9ba41034619c947d03cb750d92104cb

Observation 5a551712-1e2f-453f-ae56-92f25d82190c · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.157720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.435840Z digest=sha256:2ec8706e4fab5556285fba7cac6eb5d9d977f402fd52199ee109562e7a2837b9

Observation 0da31cb1-6f0d-4c1e-b504-9fcf36d92628 · outbound

This paper cites Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining.

Point Cloud Understanding via Attention-Driven Contrastive Learning Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.143442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.439844Z digest=sha256:056f39ba28674c141e27f3a036fef5f8bcc72f48f27ac7e2e1f21a6a7f7d822c

Observation 7b78220e-d998-47e8-ac57-26d484525521 · outbound

This paper cites Shapellm: Universal 3d object understanding for embodied interaction.

Point Cloud Understanding via Attention-Driven Contrastive Learning Shapellm: Universal 3d object understanding for embodied interaction

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.129907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.444104Z digest=sha256:c2d07c999b0e08e5eb2f94ebaecb4ad06b72c2a89981d486e9393a21456c3f46

Observation 5bc303ed-03af-457c-9633-793c0dba9e61 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.116722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.448658Z digest=sha256:d61fd3be5435e0c7d45fa967af2a37f0a2a06f94d4b697ce88e9fbaa852f1875

Observation 207d52b4-4663-4059-b623-a465854edb5d · outbound

This paper cites Spatiotempo- ral contrastive video representation learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Spatiotempo- ral contrastive video representation learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.102771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.452745Z digest=sha256:06a089f855829d5b184fcec8e9ae678ef8fd572a23843bdbdd265dc34055237c

Observation 345cf29e-b129-4ab6-b0a5-f699a11f5079 · outbound

This paper cites Improving language understanding by gener- ative pre-training.

Point Cloud Understanding via Attention-Driven Contrastive Learning Improving language understanding by gener- ative pre-training

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.456807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.456807Z digest=sha256:c178178669501a1cfeea967207e5b4623d421ec3fd6eeeebffc472776fe4b4c8

Observation 3427be56-0e2b-43cf-8e06-508d9fed31a4 · outbound

This paper cites Surface representa- tion for point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Surface representa- tion for point clouds

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.080296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.460969Z digest=sha256:a60fbd0a3a9ace0650b573310623aab1c1186e38cff270d1498daff36907c722

Observation 95c965bf-06fd-4060-b008-630f6f064a7c · outbound

This paper cites Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.465805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.465805Z digest=sha256:3f81af0bcbc724f02382ec6f123194fdb012e6b38006eaf214ff2431a6e6b448

Observation b80f86a0-76c7-4ee6-9633-87c60bf0ea00 · outbound

This paper cites Detecting formal thought disorder by deep contextualized word representations.

Point Cloud Understanding via Attention-Driven Contrastive Learning Detecting formal thought disorder by deep contextualized word representations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.065560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.470436Z digest=sha256:55bef9644fcd5524cb5283ff0577bb1c4a76297ecaa09da1b73cb77376b40c91

Observation 196242b6-a3c3-401e-811b-e5b6b5c3f96a · outbound

This paper cites Self-supervised deep learning on point clouds by reconstructing space.

Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised deep learning on point clouds by reconstructing space

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.050442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.474611Z digest=sha256:49faa55be4e4cda07c84d72a5e42b9adb383bfdcbec2e8c1d5b450505eb156b1

Observation a27fb856-ee6c-407a-9fa0-14a56b88ff94 · outbound

This paper cites Exploring 3d navigation: combining speed-coupled flying with orbiting.

Point Cloud Understanding via Attention-Driven Contrastive Learning Exploring 3d navigation: combining speed-coupled flying with orbiting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.035371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.478811Z digest=sha256:2d73bae87172994e27ab6a78d800533cc1885b2d8ebe59dd810498e112f84496

Observation a4084798-037f-4d0a-a9f4-9d8594038c98 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

Point Cloud Understanding via Attention-Driven Contrastive Learning Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.482839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.482839Z digest=sha256:34e9a6756b4bd980ad76f8d000698e66e63c7dfc40f36b7d99b532c754c87d51

Observation ad7495c6-c6ef-43b2-b531-4a03efec5a8c · outbound

This paper cites Unsupervised point cloud pre-training via oc- clusion completion.

Point Cloud Understanding via Attention-Driven Contrastive Learning Unsupervised point cloud pre-training via oc- clusion completion

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.487158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.487158Z digest=sha256:a1f7614ab099fa6d83ccd8c67abcfcd640132f844149b1b02a3f2e272e17bb0b

Observation d2f491c3-6221-45f9-97f9-c21f382edbd9 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

Point Cloud Understanding via Attention-Driven Contrastive Learning Dynamic graph cnn for learning on point clouds

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:30.003191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.492160Z digest=sha256:3254dec1c3059965905ecd8f66b920e37f8a9cd33adac9d0c7333e3b01ad6b28

Observation 401ba033-b8ec-43ee-ac0f-7720c3f11dd0 · outbound

This paper cites P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting.

Point Cloud Understanding via Attention-Driven Contrastive Learning P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.988861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.496362Z digest=sha256:a93c7295ab473f03b9aaab243398d9e5e2841d2b1cb5f34326fbdcc228874d2c

Observation 6706fcdb-20f7-4a7f-92e2-b3d6e59969e0 · outbound

This paper cites PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis.

Point Cloud Understanding via Attention-Driven Contrastive Learning PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.500659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.500659Z digest=sha256:dc1986639b2dce3d2134a4bb537400e77e468993889c62b33187ba54e1be971c

Observation 42770447-8211-4bbf-a029-9ee1a73db0da · outbound

This paper cites Point transformer v3: Simpler faster stronger.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point transformer v3: Simpler faster stronger

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.505240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.505240Z digest=sha256:ef9da151d509c5f084c71ba42f485d4bde9ddebe34a9c2d03b60a11042cf142e

Observation e4c35407-5f76-46c1-b3c7-a400b21db2b5 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Point Cloud Understanding via Attention-Driven Contrastive Learning 3d shapenets: A deep representation for volumetric shapes

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.509545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.509545Z digest=sha256:9d0eabee4a4b2bfa20cf7f57b69b751fe32a8fbc3384091ad966eab44f9473b2

Observation 9e7ead83-494e-4f1d-9e7e-93ea2c9a34bd · outbound

This paper cites Pointcontrast: Unsupervised pre- training for 3d point cloud understanding.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointcontrast: Unsupervised pre- training for 3d point cloud understanding

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.513864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.513864Z digest=sha256:e34598fc5d565947ac490d131990a4f9fc3c86cf477c6c073e2b50d21796f6e9

Observation c7b9612c-8a16-4c73-b3de-a19dfcdf13e4 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

Point Cloud Understanding via Attention-Driven Contrastive Learning Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.947952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.517961Z digest=sha256:caf3dc033814bd4094ed6e73c84eeb339a009077a21edf2408042852b9470756

Observation 3fd99a41-bfc4-4a1d-b347-ab2b206466f0 · outbound

This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.

Point Cloud Understanding via Attention-Driven Contrastive Learning Ulip-2: Towards scalable multimodal pre-training for 3d understanding

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.933619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.522683Z digest=sha256:3551237aafc59dae231845e838972e31ceb9490f5c54b3ab32dd89dd6da792d1

Observation 0022ba92-18df-41de-b3b3-f098cbc82e62 · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016.

Point Cloud Understanding via Attention-Driven Contrastive Learning A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.917595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.526959Z digest=sha256:7b15d57c0bf13a927cc5cc046a25377eee015e77d79302508050364a100503fa

Observation b93b111f-4656-41af-8374-a32db048e2b7 · outbound

This paper cites Seq- gan: Sequence generative adversarial nets with policy gra- dient.

Point Cloud Understanding via Attention-Driven Contrastive Learning Seq- gan: Sequence generative adversarial nets with policy gra- dient

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.903174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.531601Z digest=sha256:9d783410439ac63d99e70317acbc25193dba3abc8898069da3c81c1d37434b19

Observation 3710a2b5-8b8f-4b9f-916e-3931aedfa8d1 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.889051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.536245Z digest=sha256:1d02b606bf98e0b878b81a7afe78fc925a4bea7f50a3dc89823e00e40abbb979

Observation b701f068-8c08-45b3-b379-d6363e0a1d7d · outbound

This paper cites Towards compact 3d representations via point feature enhancement masked au- toencoders.

Point Cloud Understanding via Attention-Driven Contrastive Learning Towards compact 3d representations via point feature enhancement masked au- toencoders

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.873905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.540700Z digest=sha256:adfdbfefe4e316022b7f84c9047394167b47a0f0a44a76b9e23d1de120a4dd5b

Observation 7bbaae1d-fecf-420e-9126-b9799228bff6 · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.859899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.544977Z digest=sha256:95e07b15df15cdbfc51bd51ff7f9b302b339725ba32d0afae8be02c442ce4d36

Observation 344503da-2ed2-40c9-9c09-a612e68aeadf · outbound

This paper cites Pointclip: Point cloud understanding by clip.

Point Cloud Understanding via Attention-Driven Contrastive Learning Pointclip: Point cloud understanding by clip

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.549419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.549419Z digest=sha256:d85741e10b52adfd80df957bc32a1528e687959eb16e4457937f6309bdfd70f9

Observation cf69d5f5-97ae-4548-9df2-53087ab91c15 · outbound

This paper cites Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders.

Point Cloud Understanding via Attention-Driven Contrastive Learning Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.553565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.553565Z digest=sha256:276e9ad7ca811278f98ee6af543c50cab8060d43f9281b6cc1f876daad930df5

Observation d030eed5-aba7-4df7-bc4a-91989fe13600 · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.557826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.557826Z digest=sha256:afa2046f6f59929799c67aea3e6456c2233528c02e6266f7219d222411a3c5bb

Observation 39e658a0-db9f-410e-96b5-26df7c8b466d · outbound

This paper cites Self-supervised pretraining of 3d features on any point-cloud.

Point Cloud Understanding via Attention-Driven Contrastive Learning Self-supervised pretraining of 3d features on any point-cloud

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.562532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.562532Z digest=sha256:6b0db9e91fb61b4cb8fbe22416d4b2acb4cc3b83343697b0c873a06be7f88b3b

Observation 93ba131c-0ebc-4b75-accd-918b46c010f8 · outbound

This paper cites Point cloud pre-training with diffusion models.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point cloud pre-training with diffusion models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.820880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.567133Z digest=sha256:70658ade757c6ffd6bd57193d1385be626468e0697c86e8fda2799cc344aac38

Observation 6018777d-c94a-4fa7-868d-4559ac5d2b54 · outbound

This paper cites Point- clip v2: Prompting clip and gpt for powerful 3d open-world learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point- clip v2: Prompting clip and gpt for powerful 3d open-world learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.806971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.571388Z digest=sha256:bf3cfe16c0ee58112f2682ed2a5d4d03a2f1c15ea2b2a8690954dd5fadad1602

Observation aead56e4-fb34-43b6-8ed9-0e4b5d5e8b6f · outbound

This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.

Point Cloud Understanding via Attention-Driven Contrastive Learning 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.793451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.576146Z digest=sha256:47d28abfd3d5790c75094e798180b1753cb255ff35f97120c7da700e24fdcc4b

Observation 3923ae20-b792-4512-a0cd-c139c170e596 · outbound

This paper cites Preliminary Transformer-based self-supervised learning.

Point Cloud Understanding via Attention-Driven Contrastive Learning Preliminary Transformer-based self-supervised learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:02:29.779374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.580306Z digest=sha256:34df56b6d5525e11ab7b44e156308d711ca949b798da74cc61a205a5552759a7

Observation 4e389784-8766-4040-a5ca-3b53a61f852d · outbound

This paper cites an unresolved cited work.

Point Cloud Understanding via Attention-Driven Contrastive Learning Unresolved cited work

Reference 208

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:02:30.380498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:02:29.336161Z digest=sha256:25fccb4770ced66bde463953c9dc3c6ddbe792af629b99369cd381473b38c262

Pith citing papers

No inbound Pith citation observations are available.